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Datasets:
KMasaki
/
cc12m-sam-parse-tree

Tasks:
Zero-Shot Image Classification
Image-to-Text
Text-to-Image
Size:
10M<n<100M
Tags:
clip
webdataset
sam
region-phrase-alignment
Libraries:
WebDataset
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
jpg: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
json: struct<caption: string, error_message: null, exif: string, height: int64, key: string, original_heig (... 76 chars omitted)
  child 0, caption: string
  child 1, error_message: null
  child 2, exif: string
  child 3, height: int64
  child 4, key: string
  child 5, original_height: int64
  child 6, original_width: int64
  child 7, status: string
  child 8, url: string
  child 9, width: int64
txt: string
njson: binary
samlens.npy: list<item: int64>
  child 0, item: int64
samcat.npy: list<item: int64>
  child 0, item: int64
__key__: string
__url__: string
to
{'jpg': Image(mode=None, decode=True), 'txt': Value('string'), 'njson': Value('string'), 'samlens.npy': Value('binary'), 'samcat.npy': Value('binary')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2134, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              jpg: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              json: struct<caption: string, error_message: null, exif: string, height: int64, key: string, original_heig (... 76 chars omitted)
                child 0, caption: string
                child 1, error_message: null
                child 2, exif: string
                child 3, height: int64
                child 4, key: string
                child 5, original_height: int64
                child 6, original_width: int64
                child 7, status: string
                child 8, url: string
                child 9, width: int64
              txt: string
              njson: binary
              samlens.npy: list<item: int64>
                child 0, item: int64
              samcat.npy: list<item: int64>
                child 0, item: int64
              __key__: string
              __url__: string
              to
              {'jpg': Image(mode=None, decode=True), 'txt': Value('string'), 'njson': Value('string'), 'samlens.npy': Value('binary'), 'samcat.npy': Value('binary')}
              because column names don't match

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CC12M with SAM Regions and Parse-Tree Phrases

Pre-processed CC12M dataset for training PowerCLIP.

Each sample contains the original image and caption plus two precomputed annotations:

  • Parse-tree phrases (.njson) — NP/PP/VP/S constituent phrases extracted via spaCy, with token indices aligned to OpenCLIP's SimpleTokenizer (CSR format).
  • SAM regions (.samlens.npy + .samcat.npy) — Segment Anything Model (SAM ViT-H) region bounding boxes converted to ViT patch-grid token indices (CSR format, patch size 16, image size 224).

Format

WebDataset tar archives (2176 shards). Each sample contains:

{key}.jpg           # Image
{key}.txt           # Caption
{key}.json          # Metadata (original CC12M fields)
{key}.njson         # Parse-tree phrase indices (CSR: lengths + token IDs)
{key}.samlens.npy   # SAM region lengths array
{key}.samcat.npy    # SAM region token indices (concatenated)

Usage 

import webdataset as wds

dataset = wds.WebDataset("cc12m-train-{0000..2175}.tar")
for sample in dataset:
    image = sample["jpg"]          # raw JPEG bytes
    caption = sample["txt"]        # caption string
    # SAM regions and parse-tree phrases are loaded automatically
    # by PowerCLIP's data pipeline

Or use with PowerCLIP directly:

torchrun --nproc_per_node 8 -m training.main \
    --train-data "cc12m-train-{0000..2175}.tar" \
    ...

Source

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